Top 8 Apps Similar to DSP Communicator
DSP LabMate 2.1
This app contains 12 MATLAB programsregardingbasic Digital Signal Processing concepts likeSampling,Convolution, Discrete Fourier Transform,Different types offilterdesign.Features of the app:12 MATLAB codes regarding Digital Signal Processing.The codes in this application are properly commented.The commands and comments are highlighted indifferentcolours.The codes are tested OK.The app has very good User Interface.The codes are well suited for MATLAB 7.0 or higher
AJDSP 1.0
The AJDSP educational software packageenablessimulation of Digital Signal Processing (DSP) conceptsandalgorithms on Android mobile phones and tablets. Designed asastandalone app, it utilizes the resources and features oftheAndroid platform in order to create a compelling studentlearningenvironment.AJDSP provides an intuitive multi-touch user interface;DSPsimulations can be established as a block diagram using asimpletouch-n-drop procedure. All functions in AJDSP are organizedasgraphical blocks that can be visually added to the mainworkspace.AJDSP has a rich suite of signal processing functionsincludingsignal generators, digital filters, pole-zero andfrequencyresponse computation, FIR and IIR filter designalgorithms, FFT,plot functions, a sound recorder/player, and manyothers.The content of the AJDSP courseware is enriched byincorporatingseveral online multimedia tools such as YouTubevideos, interactivepresentations, social media discussion forums, atextbook, andother documentation.This app has been developed for education purposes in theSignalProcessing Laboratory of the SenSIP Center at ArizonaStateUniversity.Visit Us: http://jdsp.asu.edu/ajdspFollow Us: http://twitter.com/asujdspLike Us: https://www.facebook.com/ASU.JDSPDonate to SenSIP Research on Education and Research Apps.(Fundswill support further development and maintenance of thisapp)To donate please go to: http://www.asufoundation.org/sensipUnder Designation you can type: "Unrestricted Gift for ASUSenSIPResearch and Development"SenSIP is a non-profit ASU research center.ASU SenSIP, Room GWC 411,SenSIP Center, ECEE, Box 5706,Arizona State University, Tempe, AZ 85287-5706
Digital Signal Processing 7
The app is a complete free handbook of DigitalSignalProcessingwhich covers important topics, notes, materials&news on thecourse. Download the App as a reference material&digital bookfor computer science, communication andotherengineering programs& degree courses. This useful Applists 91topics with detailednotes, diagrams, equations, formulas&course material, thetopics are listed in 5 chapters. The appismust have for all theengineering science students&professionals. The app providesquick revision and reference totheimportant topics like adetailed flash card notes, it makes iteasy& useful for thestudent or a professional to cover thecoursesyllabus quickly justbefore an exams or job interviews. Alsogetthe hottestinternational engineering & technology news onyourapp poweredby Google news feeds. We have customised it so thatyouget regularupdates on subject frominternational/nationalcolleges,universities, research, industry,applications,engineering, tech,articles & innovation. This isthe bestapplication to remainupdated on your fav. subject. Use thisusefulengineering app asyour education tool, utility, tutorial,book, areference guide forsyllabus and explore study coursematerial,aptitude tests &project work. Track your learning,setreminders, edit, addfavourite topics, share the topics onsocialmedia. Some of topicsCovered in this application are:1.Introduction to Signals andSystems 2. SIGNALS AND CLASSIFICATIONOFSIGNALS 3. BASICCONTINUOUS-TIME SIGNALS 4. BASICDISCRETE-TIMESIGNALS 5. SYSTEMSAND CLASSIFICATION OF SYSTEMS 6. TheRoots of DSP7.Telecommunications 8. Audio Processing 9. EchoLocation 10.ImageProcessing 11. Signal and Graph Terminology 12.Signalvs.Underlying Process 13. The Normal Distribution 14.DigitalNoiseGeneration 15. Precision and Accuracy 16. IntroductiontoLinearTime-Invariant Systems 17. RESPONSE OF A CONTINUOUS-TIMELTISYSTEMAND THE CONVOLUTION INTEGRAL 18. PROPERTIESOFCONTINUOUS-TIME LTISYSTEMS 19. EIGENFUNCTIONS OFCONTINUOUS-TIMELTI SYSTEMS 20.SYSTEMS DESCRIBED BY DIFFERENTIALEQUATIONS 21.RESPONSE OF ADISCRETE-TIME LTI SYSTEM AND CONVOLUTIONSUM 22.PROPERTIES OFDISCRETE-TIME LTI SYSTEMS 23. EIGENFUNCTIONSOFDISCRETE-TIME LTISYSTEMS 24. SYSTEMS DESCRIBED BYDIFFERENCEEQUATIONS 25.Quantization 26. Digital-to-AnalogConversion 27. TheSamplingTheorem 28. Selecting the AntialiasFilter 29. AnalogFilters forData Conversion 30. Multirate DataConversion 31. SingleBit DataConversion 32. Filter Basics 33. HowInformation isRepresented inSignals 34. Time Domain Parameters 35.FrequencyDomain Parameters36. High-Pass, Band-Pass and Band-RejectFilters37. FilterClassification 38. Noise Reduction vs. StepResponse 39.FrequencyResponse 40. Relatives of the Moving AverageFilter41.Introduction to Laplace Transform and Continuous-TimeLTISystems42. THE LAPLACE TRANSFORM 43. LAPLACE TRANSFORMS OFSOMECOMMONSIGNALS 44. PROPERTIES OF THE LAPLACE TRANSFORM 45.THEINVERSELAPLACE TRANSFORM 46. THE SYSTEM FUNCTION 47.theUNILATERALLAPLACE TRANSFORM 48. Introduction to Thez-TransformandDiscrete-Time LTI Systems 49. THE Z-TRANSFORM 50.Z-TRANSFORMSOFSOME COMMON SEQUENCES 51. PROPERTIES OF THEZ-TRANSFORM 52.THEINVERSE Z-TRANSFORM Each topic is complete withdiagrams,equationsand other forms of graphical representations forbetterlearningand quick understanding. Digital and analogsignalprocessing aresubfields of signal processing. Theapplicationsinclude audio andspeech signal processing, sonar,radar, spectralestimation,statistical signal processing, imageprocessing, signalprocessingfor telecommunications, control ofsystems, biomedicalengineering,seismic data processing, amongothers. Digital SignalProcessing ispart of computer science,communication and otherengineeringeducation courses and technologydegree programs ofvariousuniversities.
