The Most Common Mistakes Students Make in Their College Essays

The Most Common Mistakes Students Make in Their College Essays The Most Common Mistakes Students Make in Their College Essays The Most Common Mistakes Students Make in Their College Essays The admissions essay is a crucial part of your college application because it is the only chance you have to communicate with admissions officers in your own voice. You need to take advantage of every word at your disposal and send the message that you’re the kind of student that colleges should want on their campus. Over our thirteen years of coaching students through the college essay process, we have identified the three most common mistakes that students make when writing their college essay. Don’t do these things! Repeating the prompt in your essay You only have so many words, sometimes as many as 1,000 in the case of Villanova, and sometimes as few as 150 in the case of Harvard. Don’t waste words regurgitating the prompt admissions officers have already read a thousand times. They know the prompts by heart, trust us. Additionally, it’s plain boring! Start your essay off with something that hooks the reader, not puts them to sleep. Trying to sound like an academic You’re a teenager with a soon-to-be High School diploma, Admissions Officers aren’t expecting you to sound like the most well-read PhD student on the planet! Word choice is important to convey meaning and capture the moment, but there’s no need for you to be using words you wouldn’t use in everyday life. It will come off as phony and manufactured and you dont want admissions to think you took a note out of Joeys playbook. Using cliches We know you know cliches are on the outs, but it bears repeating, don’t use cliches! Your grandma might think you’re the diamond in the rough, one in a million, and a needle in a haystack (and you may very well be!) but find another way to describe yourself that doesn’t include lyrics from a Larry Graham song. The admissions essay is a crucial part of your college application because it is the only chance you have to communicate with admissions officers in your own voice. You need to take advantage of every word at your disposal and send the message that you’re the kind of student that colleges should wan About Kat StubingView all posts by Kat Stubing » Want us to take a look at your essay? We can find the mistakes you missed. CONTACT US »

What is ypur favourite word and why - 550 Words

What is ypur favourite word and why (Essay Sample) Content: What is your favorite word and why? When love is mentioned, people often think that it means of a couple who have agreed to be together and work together in order to achieve some goals in life. This is not always the case. Love is a general statement that is used to explain some kind of positive sentiments towards a person, something or towards a job or an object. It also includes the passion to do something to someone and catering for the wellbeing of another person or even strangers. Love can be a variety of different feelings and attitudes that may ranges from interpersonal pleasure. It can also refer to a some strong affection towards another person. It can also be a norm or virtue that shows how humans are supposed to interact and behave which clearly explains giving out to someone else generously. Love is very important in our lives, not only to mention but as a trait that each person should have. The main aspects of love are shown through love's actions of being kind, compassionate, offering care to others. It also contains the act of being helpful to neighbors or someone who is in need. If love is felt from the heart, then that is true love. In other instances people may abuse the word love by assuming that it is a channel to do immoral things. This is not the case. Instead, love should be outspoken, and have a lot of sacrifices being offered by one person to the other in order to keep everything the way it should be. An act of love can be shown where a person has little or no food in the house, but keeps away from eating lunch so that they could eat together with his or her partner in the evening even though he or she is sure that the partner may have some money to buy food. This act of tenderness and care is what love is. "Without love then there is no lifeà ¢Ã¢â€š ¬Ã‚ , this is what the old adage says. Love puts off unnecessary conflicts that emerge as people stay together. The opposite of love has always been hate. When people hate each other we have many setbacks that include killings of all manners, unhealthy lifestyles, and jealousy. Thus love helps to erase out these bad effects that are caused by lack of love. Hating someone may be caused by some factors like childhood rivalry, history or even unforgiving minds of people. Human beings should learn to embrace love since it's the only umbrella ...

Lambert Simnel as a Greater Threat to the Security of...

Lambert Simnel as a Greater Threat to the Security of Henry VII than Perkin Warbec After Bosworth, Henrys most immediate and perhaps greatest problem was ensuring that he kept the crown. from Henry VII by R. Turvey and C. Steinsberg. This was very true, as throughout Henrys reign he faced many threats because as King he wasnt established and therefore vulnerable to challenge. Also there were still Yorkists in power who wanted to claim the throne back from the usurper King and there was also strong foreign support for any potential threat towards Henry. A threat that Henry did face throughout most of his reign was the threat from Pretenders, and none came as more as threat than of Lambert†¦show more content†¦However, Warbeck was actually from Tournai in Flanders who was a personable, quite handsome and charming young man. Simnels and Warbecks claims to the throne were great threats to Henrys security, because of Henrys weak claim to the throne; therefore, it was possible for anyone to usurp his throne like he had done. Henry claim to the throne was weak as his claim only came from a female line, as he was a descendant of Henry Vs wife and the Beaufort family. But his victory at the Battle of Bosworth, enabled him as many would say to become a usurper King and Henry said he was given the throne as he has divine sanction. Both Simnel and Warbeck on their own didnt pose a great threat to Henrys security, but they did with the support they individually gained. Compared to Warbeck, Simnel internally posed a greater threat to Henrys security due to the internal support that Simnel had. Unlike Warbeck, Simnel had the support of a great noble power supporting him, and that was John de La Pole, Earl of Lincoln, who was heir to Richard III. As the heir to Richard III, John de la Pole was a major potential threat to Henry VIII. But the greater threat that John de la Pole posed and the impact of his support was that it enabled Simnel to link his internal support and foreign support (therefore, linking internal and external threat), because of John de la Pole being the nephew of

Energy in the World Around Us Essay - 550 Words

Energy in the World Around Us How can we make energy more affordable and better for the environment? Once our fossil fuels run out, we cannot just go out and make more. The fossil fuels that we use today, took millions of years to create. So what happens when we run out? We will have to look to other sources of energy to serve the growing population. There are many sources of energy in the world that are renewable sources and will always be there. The main sources are wind, the sun, the moon and stars, and water. These are all reliable sources of energy that we will be able to access very easily in the many years that we will have to face. Also with new emerging technologies, we will be able to collect this energy and store it†¦show more content†¦The energy that the moon provides is still useful and should be taken advantage of. When we see the moon every night, do we think about the possible uses that we could have for it; the possible energy that we could use from it? Water is the most abundant resource on earth. Water power, or hydro-power, is the most used source of renewable energy. More than half of the earth is covered with water. In the early 1900s, the settlers made the water wheel to power the first mills, grinding wheat, or for other agriculture uses. We still use water power today but not many people realize how powerful the water is; water can break mountains, can kill thousands of people in just one wave, and can destroy anything in its path. Another possible source of energy, though not proven, is hydrogen power. Hydrogen can produce a great amount of energy with almost no pollution. Fuel cells are able to combine hydrogen with oxygen, producing energy which possibly could be used to power cars, buildings, and other devices. Hydrogen fuel cells are a promising technology for the years to come. Over the course of a couple years, our fossil fuels may be all gone, so we must prepare for that with other sources of renewable energy, energy that we can reuse many times over. The main sources that we have as of today are solar power, wind power, lunar power, and water power. Hydrogen is another source that can be very promising and helpful to the growing need of energy in ourShow MoreRelatedThe World Is Without Energy1639 Words   |  7 Pagesthe world be without energy? Wel l, the answer is nowhere, the earth wouldn’t exist because there would be no nuclear fission of hydrogen occurring on the sun and the earth the earth would freeze over and fall into darkness. Where would we be if there was no energy? We wouldn’t exist, energy is vital to us it provides us with heat and gives us food to eat, and oxygen to breathe. To be more specific no life would exist without energy, energy is a vital resource to the survival of mankind. 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Effects Of Chemical Reactions On The Cell - 1654 Words

Introduction: When chemical reactions occur in the cell, enzymes, which are proteins, help catalyze the reaction (Schultz, D. L, 2005). Due to the fact that all enzymes are proteins, the folding pattern affects how the enzyme functions and if there is not proper folding then the enzyme cannot bind to substrates (Schultz, D. L, 2005). If there were no enzymes in cells, then the process of reactions would happen slowly. As said in Worthington Biochem, without enzymes, these reactions take place at a rate far too slow for the pace of metabolism. The reason why enzymes catalyze chemical reactions is due to the fact that enzymes lower the activation energy in the cell(Schultz, D. L, 2005). Activation energy is the amount of energy needed in a reaction. Every different type of enzyme is used for a specific molecule. Each molecule receives different signals that is why there is different enzymes for different molecules. 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International Emergency Powers Act ( Iepa ) - 1501 Words

On November 4, 1979, Iranian revolutionaries stormed the U.S. Embassy in Tehran and took several Americans hostage . President Carter subsequently issued executive order 12170, under the provision of the International Emergency Powers Act (IEPA), which froze all Iranian governmental assets within the jurisdiction of the United States . 444 days later Iran agreed to release the hostages in exchange for the return of their seized funds and the dismissal of â€Å"all legal proceedings of US nationals against Iran and†¦ judgments via those pending proceedings†; this agreement is the basis for the Algiers Accords . Executive orders serve as immediate control measures for crises but often warrant criticism and further examination. Before the hostage crisis, Dames Moore Cooperation filed lawsuits against numerous Iranian governmental agencies. Dames was already furious about slow progress of their case in early 1980, but Carter’s executive order effectively forced the cooperation to relegate the case with the newly formed Claims Tribunal. Dames doubted the constitutionality of the executive actions arguing that they exceeded constitutional limitations, so he challenged the executive order directly . Because of the severity of the events surrounding the executive order, the case was sent directly to the Supreme Court. Ultimately, the Court upheld executive order 12170; the issues of fund transfer and suspension of legal claims both proved legal under the IEPA and congressionalShow MoreRelatedRacism and Ethnic Discrimination44667 Words   |  179 Pages1 Lack of socio-demographic information 44 5.4.2 Social exclusion 45 5.4.3 Discrimination in health care 45 5.4.4 Discrimination in churches 46 5.4.5 Discrimination in education 47 5.4.6 Discrimination in processes promoted by international cooperation agencies and development aid 48 5.4.7 Discrimination through the media 48 2 of 104 Racism and Ethnic Discrimination in Nicaragua November 2006 5.4.8 The impact of racism on gender relations 5.4.9 Migration and racism

Wavelets are mathematical functions Free Essays

string(170) " generate a information construction that containssegments of assorted lengths, normally make fulling and transforming it into a different informations vector of length\." Abstraction Ripples are mathematical maps that cut up informations into different frequence constituents, and so analyze each constituent with a declaration matched to its graduated table. They have advantages over traditional Fourier methods in analysing physical state of affairss where the signal contains discontinuities and crisp spikes. Ripples were developed independently in the Fieldss of mathematics, quantum natural philosophies, electrical technology, and seismal geology. We will write a custom essay sample on Wavelets are mathematical functions or any similar topic only for you Order Now Interchanges between these Fieldss during the last 10 old ages have led to many new ripple applications such as image compaction, turbulency, human vision, radio detection and ranging, and temblor anticipation. This paper introduces ripples to the interested proficient individual outside of the digital signal processing field. I describe the history of ripples get downing with Fourier, compare ripple transforms with Fourier transforms, province belongingss and other particular facets of ripples, and Coating with some interesting applications such as image compaction, musical tones, and de-noising noisy informations. 1. Introduction A ripple is a wave-like oscillation with amplitude that starts out at zero, additions, and so decreases back to nothing. It can typically be visualized as a â€Å" brief oscillation † like one might see recorded Seismograph Or bosom proctor. Generally, ripples are purposefully crafted to hold specific belongingss that make them utile for signal processing. Ripples can be combined, utilizing a â€Å" displacement, multiply and amount † technique called whirl, with parts of an unknown signal to pull out information from the unknown signal. Wavelets provide an alternate attack to traditional signal processing techniques such as Fourier analysis for interrupting a signal up into its component parts. The drive drift behind ripple analysis is their belongings of being localised in clip ( infinite ) every bit good as graduated table ( frequence ) . This provides a time-scale map of a signal, enabling the extraction of characteristics that vary in clip. This makes wavelets an ideal tool for analyzing signals of a transient or non-stationary nature. 2. History The development of ripples can be linked to several separate trains of idea, get downing with Haar ‘s work in the early twentieth century. Noteworthy parts to wavelet theory can be attributed to Zweig ‘s find of the uninterrupted ripple transform in 1975 ( originally called the cochlear transform and discovered while analyzing the reaction of the ear to sound ) , Pierre Goupillaud, Grossmann and Morlet ‘s preparation of what is now known as the CWT ( 1982 ) , Jan-Olov Str A ; ouml ; mberg ‘s early work on distinct ripples ( 1983 ) , Daubechies ‘ extraneous ripples with compact support ( 1988 ) , Mallat ‘s multiresolution model ( 1989 ) , Nathalie Delprat ‘s time-frequency reading of the CWT ( 1991 ) , Newland ‘s Harmonic ripple transform ( 1993 ) and many others since. First ripple ( Haar ripple ) by Alfred Haar ( 1909 ) Since the 1970s: George Zweig, Jean Morlet, Alex Grossmann Since the 1980s: Yves Meyer, St A ; eacute ; phane Mallat, Ingrid Daubechies, Ronald Coifman, Victor Wickerhauser 3. WAVELET THEORY Wavelet theory is applicable to several topics. All ripple transforms may be considered signifiers of time-frequency representation for continuous-time ( parallel ) signals and so are related to harmonic analysis. Almost all practically utile distinct ripple transforms use discrete-time filter Bankss. These filter Bankss are called the ripple and scaling coefficients in ripples nomenclature. These filter Bankss may incorporate either finite impulse response ( FIR ) or infinite impulse response ( IIR ) filters. The ripples organizing a uninterrupted ripple transform ( CWT ) are capable to the uncertainness rule of Fourier analysis respective trying theory: Given a signal with some event in it, one can non delegate at the same time an exact clip and frequence response graduated table to that event. The merchandise of the uncertainnesss of clip and frequence response graduated table has a lower edge. Therefore, in the scale gm of a uninterrupted ripple transform of this signal, such an event marks an full part in the time-scale plane, alternatively of merely one point. Besides, distinct ripple bases may be considered in the context of other signifiers of the uncertainness rule. Wavelet transforms are loosely divided into three categories: uninterrupted, distinct and multiresolution-based. Above shown diagram shows all CWT ( Continuous Wavelet ) , DWT ( Discrete Wavelet ) . These all varies with the clip and degree and all graphs obtained are above shown. 4. WAVELET TRANSFORMS There are a big figure of ripple transforms each suited for different applications. For a full list see list of wavelet-related transforms but the common 1s are listed below: Continuous ripple transform ( CWT ) Discrete ripple transform ( DWT ) Fast ripple transform ( FWT ) Raising strategy Wavelet package decomposition ( WPD ) Stationary ripple transform ( SWT ) 5. WAVELET PACKETS The ripple transform is really a subset of a far more various transform, the ripple package transform. Wavelet packages are peculiar additive combinations of ripples. They form bases which retain many of the perpendicularity, smoothness, and localisation belongingss of their parent ripples. The coefficients in the additive combinations are computed by a recursive algorithm doing each freshly computed ripple package coefficient sequence the root of its ain analysis tree. 6. WAVELETS IN MATLAB Wavelet Toolbox package extends the MATLAB proficient calculating environment with graphical tools and command-line maps for developing wavelet-based algorithms for the analysis, synthesis, denoising, and compaction of signals and images. Wavelet analysis provides more precise information about signal informations than other signal analysis techniques, such as Fourier. The Wavelet Toolbox supports the synergistic geographic expedition of ripple belongingss and applications. It is utile for address and sound processing, image and picture processing, biomedical imagination, and 1-D and 2-D applications in communications and geophysical sciences. 7. WAVELETS VS FOURIER TRANSFORM Each and every thing in this universe comparable to it has some similarities and unsimilarities with that same is the instance with the ripples and Fourier transform. Ripples can be compared with the Fourier transform on the footing of their similarities and unsimilarities which are explained as follows. Assorted sorts of similarities and unsimilarities of ripples and Fourier transform are as follows. 7.1 SIMILARITIES BETWEEN FOURIER AND WAVELET TRANSFORMS The fast Fourier transform ( FFT ) and the distinct ripple transform ( DWT ) are both additive operations that generate a information construction that containssegments of assorted lengths, normally make fulling and transforming it into a different informations vector of length. You read "Wavelets are mathematical functions" in category "Essay examples" The mathematical belongingss of the matrices involved in the transforms are similar as good. The reverse transform matrix for both the FFT and the DWT is the transpose of the original. As a consequence, both transforms can be viewed as a rotary motion in map infinite to a different sphere. For the FFT, this new sphere contains footing maps that are sines and cosines. For the ripple transform, this new sphere contains more complicated footing maps called ripples, female parent ripples, or analysing ripples. Both transforms have another similarity. The basic maps are localized in frequence, doing mathematical tools such as power spectra ( how much power is contained in a frequence interval ) and scale gms ( to be defined subsequently ) utile at picking out frequences and ciphering power distributions. 7.2 DISSIMILARITIES BETWEEN FOURIER AND WAVELET TRANSFORMS The most interesting unsimilarity between these two sorts of transforms is that single ripple maps arelocalized in space.Fourier sine and cosine maps are non. This localisation characteristic, along with ripples ‘ localisation of frequence, makes many maps and operators utilizing ripples â€Å" thin † when transformed into the ripple sphere. This spareness, in bend, consequences in a figure of utile applications such as informations compaction, observing characteristics in images, and taking noise from clip series. One manner to see the time-frequency declaration differences between the Fourier transform and the ripple transform is to look at the footing map coverage of the time-frequency plane. The square moving ridge window truncates the sine or cosine map to suit a window of a peculiar breadth. Because a individual window is used for all frequences in the WFT, the declaration of the analysis is the same at all locations in the time-frequency plane. 8. WAVELET APPLICATIONS There are assorted sorts of applications in the field of ripples which are as follows can be explained as follows Computer and Human Vision FBI Fingerprint Compression Denoising Noisy Data Musical Tones 8.1 COMPUTER AND HUMAN VISION In the early 1980s, David Marr began work at MIT ‘s Artificial Intelligence Laboratory on unreal vision for automatons. He is an expert on the human ocular system and his end was to larn why the first efforts to build a automaton capable of understanding its milieus were unsuccessful. Marr believed that it was of import to set up scientific foundations for vision, and that while making so ; one must restrict the range of probe by excepting everything that depends on preparation, civilization, and so on, and concentrate on the mechanical or nonvoluntary facets of vision. This low-level vision is the portion that enables us to animate the 3-dimensional organisation of the physical universe around us from the excitements that stimulate the retina. He so developed working algorithmic solutions to reply each of these inquiries. Marr ‘s theory was that image processing in the human ocular system has a complicated hierarchal construction that involves several beds of processing. At each treating degree, the retinal system provides a ocular representation that scales increasingly in a geometrical mode. His statements hinged on the sensing of strength alterations. He theorized that strength alterations occur at different graduated tables in an image, so that their optimum sensing requires the usage of operators of different sizes. He besides theorized that sudden strength alterations produce a extremum or trough in the first derived function of the image. These two hypotheses require that a vision filter have two features: it should be a differential operator, and it should be capable of being tuned to move at any coveted graduated table. Marr ‘s operator was a ripple that today is referred to as a â€Å" Marr ripple. † 8.2 FBI FINGERPRINT COMPRESSION Between 1924 and today, the US Federal Bureau of Investigation has collected about 30 million sets of fingerprints. The archive consists chiefly of inked feelings on paper cards. Facsimile scans of the feelings are distributed among jurisprudence enforcement bureaus, but the digitisation quality is frequently low. Because a figure of legal powers are experimenting with digital storage of the prints, mutual exclusivenesss between informations formats have late become a job. This job led to a demand in the condemnable justness community for a digitisation and a compaction criterion. In 1993, the FBI ‘s Criminal Justice Information Services Division developed criterions for fingerprint digitisation and compaction in cooperation with the National Institute of Standards and Technology, Los Alamos National Laboratory, commercial sellers, and condemnable justness communities. Let ‘s set the informations storage job in position. Fingerprint images are digitized at a declaration o f 500 pels per inch with 256 degrees of gray-scale information per pel. A individual fingerprint is about 700,000 pels and demands about 0.6 Mbytes to hive away. A brace of custodies, so, requires about 6 Mbytes of storage. So digitising the FBI ‘s current archive would ensue in approximately 200 TBs of informations. ( Notice that at today ‘s monetary values of about $ 900 per Gbyte for hard-disk storage, the cost of hive awaying these uncompressed images would be about 200 million dollars. ) Obviously, informations compaction is of import to convey these Numberss down. 8.3 DENOISING NOISY DATA In diverse Fieldss from planetal scientific discipline to molecular spectrometry, scientists are faced with the job of retrieving a true signal from uncomplete, indirect or noisy informations. Can wavelets assist work out this job? The reply is surely â€Å" yes, † through a technique called ripple shrinking and thresholding methods that David Donoho has worked on for several old ages. The technique works in the undermentioned manner. When you decompose a information set utilizing ripples, you use filters that act as averaging filters and others that produce inside informations. Some of the ensuing ripple coefficients correspond to inside informations in the information set. If the inside informations are little, they might be omitted without well impacting the chief characteristics of the information set. The thought of thresholding, so, is to put to zero all coefficients that are less than a peculiar threshold. These coefficients are used in an reverse ripple transmutation t o retrace the information set. Figure 6 is a brace of â€Å" before † and â€Å" after † illustrations of a atomic magnetic resonance ( NMR ) signal. The signal is transformed, threshold and inverse-transformed. The technique is a important measure frontward in managing noisy informations because the denoising is carried out without smoothing out the crisp constructions. The consequence is cleaned-up signal that still shows of import inside informations. Fig.8.3.1 displays an image created by Donoho of Ingrid Daubechies ( an active research worker in ripple analysis and the discoverer of smooth orthonormal ripples of compact support ) , and so several close-up images of her oculus: an original, an image with noise added, and eventually denoised image. To denoise the image, Donoho: transformed the image to the ripple sphere utilizing Coiflets with three disappearing minutes, applied a threshold at two standard divergences, and Inverse-transformed the image to the signal sphere. 8.4 MUSICAL TONES Victor Wickerhauser has suggested that ripple packages could be utile in sound synthesis. His thought is that a individual ripple package generator could replace a big figure of oscillators. Through experimentation, a instrumentalist could find combinations of moving ridge packages that produce particularly interesting sounds. Wickerhauser feels that sound synthesis is a natural usage of ripples. Say one wishes to come close the sound of a musical instrument. A sample of the notes produced by the instrument could be decomposed into its ripple package coefficients. Reproducing the note would so necessitate recharging those coefficients into a ripple package generator and playing back the consequence. Transient features such as onslaught and decay- approximately, the strength fluctuations of how the sound starts and ends- could be controlled individually ( for illustration, with envelope generators ) , or by utilizing longer wave packages and encoding those belongingss every bit good i nto each note. Any of these procedures could be controlled in existent clip, for illustration, by a keyboard. Notice that the musical instrument could merely every bit good be a human voice, and the notes words or phonemes. A wavelet-packet-based music synthesist could hive away many complex sounds expeditiously because ripple package coefficients, like ripple coefficients, are largely really little for digital samples of smooth signals ; and Discarding coefficients below a predetermined cutoff introduces merely little mistakes when we are compacting the information for smooth signals. Similarly, a wave packet-based address synthesist could be used to retrace extremely tight address signals. Figure 8.4.1 illustrates a ripple musical tone or toneburst. 9. ADVANTAGES OF WAVELET TRANSFORMATION Advantages of ripple transmutation are as follows which are discussed below. Space and Time Efficiency ( Low Complexity of DWT ) . Generality A ; Adaptability ( Different Basis and Wavelet Functions ) . Multiresolution Properties ( Hierarchical Representation A ; Manipulation ) . Adaptability of the Transformation ( Different Basis Functions let different Properties of the Transformation ) Transformation is Hierarchical ( Multiresolution – Properties ) Transformation is Loss-Free Efficiency of the Transformation ( Linear Time and Space Complexity for Orthogonal Wavelets ) Generalization of the Transformation ( Generalization of other Transformations ) CONCLUSION AND FUTURE SCOPE Most of basic ripple theory has been done. The mathematics has been worked out in tormenting item and ripple theory is now in the polish phase. The refinement phase involves generalisations and extensions of ripples, such as widening ripple package techniques. The hereafter of ripples lies in the as-yet chartless district ofapplications.Wavelet techniques have non been exhaustively worked out in applications such as practical information analysis, where for illustration discretely sampled time-series informations might necessitate to be analyzed. Such applications offer exciting avenues for geographic expedition. Basically after working on this term paper we came to cognize about the construct of the ripples its relation with the Fourier transform its advantages in shacking universe. Mentions www.yahoo.com ( a truly friendly usher to ripples ) . www.google.com ( ripples ppt. ) . www.wikipedia.com ( ripples ) . www.google.com ( Seminar Report on ripples by ROBI POLIKAR ) www.google.com ( applications of ripples ) . How to cite Wavelets are mathematical functions, Essay examples