signal reconstructionThe problem of interpolation a set of data is an old one, but the demanding of flexibility and high speed in operating on-line and in real time processing need to find new methods and improve the old ones [1]. The main properties of B-spline functions offer the ...
In subject area: Computer Science An interpolation algorithm is a method used in signal processing to reconstruct the original signal from non-uniform and jittered samples by estimating the values between known data points. It includes techniques like linear interpolation, spline interpolation, and poly...
signal interpolation after getting fft for voice... Learn more about signal processing, curve fitting Signal Processing Toolbox
This MATLAB function resamples the data in data such that the data is interpolated by a factor P and then decimated by a factor Q.
resamplecalls theresample(Signal Processing Toolbox)function in Signal Processing Toolbox. The algorithm takes into account the intersample characteristics of the input signal that are described by thedata.InterSampleproperty. If you do not have a license for Signal Processing Toolbox, perform resampli...
[2] Orfanidis, Sophocles J.Introduction to Signal Processing. Upper Saddle River, NJ: Prentice-Hall, 1996. Extended Capabilities C/C++ Code Generation Generate C and C++ code using Simulink® Coder™. HDL Code Generation Generate VHDL, Verilog and SystemVerilog code for FPGA and ASIC designs...
As a linear process, the DSP sense of interpolation is somewhat different from the “math” sense of interpolation, but the result is conceptually similar: to create “in-between” samples from the original samples. The result is as if you had just originally sampled your signal at the higher...
However, in signal processing this is not arequirement – in fact, the interpolation functions used in video and audio rarely pass exactly through the original sample values. As a consequence of using the terminology of mathematics, in video we have the seemingly paradoxical situation that ...
[2] Orfanidis, Sophocles J.Introduction to Signal Processing. Upper Saddle River, NJ: Prentice-Hall, 1996. Extended Capabilities expand all Fixed-Point Conversion Design and simulate fixed-point systems using Fixed-Point Designer™. Version History ...
Beyond the nearest neighbor interpolation, which is not continuous, one of the simplest interpolation for 1D signal processing is linear interpolation. In 2D and 3D image processing this generalizes to bilinear and trilinear interpolation, which are particularly popular due to their very low ...