![]() One of these systems is a low-pass filter, with an impulse In (a), the input signal, x, is applied to two In other words, it changes a filter from low-pass to high-pass, high-pass to low-pass, band-pass to band-reject, or band-reject to band-pass.įigure 14-6 shows why this two step modification to the time domain results inĪn inverted frequency spectrum. Spectral inversion flips the frequency response top-for-bottom, changing the passbands into stopbands, and the stopbands into This results in the high-pass filter kernel shown in (c), with the frequency Second, add one to the sample at the center of symmetry. Two things must be done to change the low-passįilter kernel into a high-pass filter kernel. Analysis of the Log-Normal Distributionįrequency response is shown in (b), found by adding 13 zeros to the filter kernelĪnd taking a 64 point FFT.Why the Complex Fourier Transform is Used.Another Look at Fixed versus Floating Point.Architecture of the Digital Signal Processor.How DSPs are Different from Other Microprocessors.Example of a Large PSF: Illumination Flattening.The Chebyshev and Butterworth Responses.High-Pass, Band-Pass and Band-Reject Filters.How Information is Represented in Signals.Multiplying Signals (Amplitude Modulation).Compression and Expansion, Multirate methods.The Frequency Domain's Independent Variable.The Delta Function and Impulse Response.Examples of Linear and Nonlinear Systems. ![]() ![]() Static Linearity and Sinusoidal Fidelity. ![]()
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