Transcription of Digital Signal Processing
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Digital Signal Processing
Digital Signal ProcessingMarkus KuhnComputer 2009 Part IISignals flow of information measured quantity that varies with time (or position) electrical Signal received from a transducer(microphone, thermometer, accelerometer, antenna, etc.) electrical Signal that controls a processContinuous-time signals:voltage, current, temperature, speed, ..Discrete-time signals:daily minimum/maximum temperature,lap intervals in races, sampled continuous signals, ..Electronics (unlike optics) can only deal easily with time-dependent signals, therefore spatialsignals, such as images, are typically first converted into a time Signal with ascanning process(TV, fax, etc.).2 Signal processingSignals may have to be transformed in order to amplify or filter out embedded information detect patterns prepare the Signal to survive a transmission channel prevent interference with other signals sharing a medium undo distortions contributed by a transmission channel compensate for sensor deficiencies find information encoded in a different domainTo do so, we also need methods t
examples from electronics, optics and acoustics. MATLAB. Use of MATLAB on PWF machines to perform numerical experiments and visualise the results in homework exercises. Fourier transform. Harmonic phasors as orthogonal base functions. Forms of the Fourier transform, convolution theorem, Dirac’s delta function, impulse combs in
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