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The windowed sinc filter uses the inverse fourier transform of ideal low - pass filter frequency response. The Inverse transform of the ideal low - pass response is the sinc function (sinx/x). The inverse fourier transform of the required frequency response is taken and used as kernel a normal filter.
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A moving average filter averages a number of input samples and produce a single output sample. This averaging action removes the high frequency components present in the signal. Moving average filters are normally used as low pass filters. In recursive filtering algorithm, previous output samples also are taken for averaging.
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Though discrete fourier transform can convert time domain data in to frequency domain accurately, it has an unavoidable drawback. It is the inefficiency of the algorithm which makes the processing much time consuming. As a solution to this problem, Fast Fourier Transform (FFT) is invented. FFT is much faster and efficient than DFT. the sample program written in Visual Basic lets you generate different waveforms, and examine its spectrum.
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Fourier Transformation is used to transform data in time domain to frequency domain and vice versa. The forward fourier transform or simply fourier transform is used for time domain to frequency domain transformation. Where as Inverse fourier transform is used for reverse process. Here you can find a visual basic sample program implementing fourier transform using correlation method.
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An introductory tutorial about digital filters , one of the most important applications of DSP !. It explains about a basic digital filter system with a block diagram . Two sample programs written in visual basic also available. This programs will let you understand about digital filtering through visual graphs.
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