Signal Processing - Digital Signal Processing
Digital signal processing (DSP)
Digital
signal processing (DSP) is concerned with representation of signals as numbers
and processing of these sequences. DSP has fixed processing characteristics,
i.e. they are independent of the external factors of the environment at that
moment. No need of a realignment over a life time, component tolerance does not
affect the system performances, and no adjustments needed during the time of
process, an increase of 1bit in representation results in increasing 6 db,
using of standard digital circuits for implementation and also more
importantly, multiplexing which describes the same equipment can be shared
between several signals are some major advantages of DSP.
DSP is
applied in different paths such as acoustic acquisition and presentation, signal
coding and compression, machine synthesis of signals and also more importantly
to the drum device which is to be produced by HEX, Digital sound synthesis.
Furthermore there are four major ways which could results in Digital Sound
Synthesis. They are Wavetable Synthesis, Spectral Synthesis, Non
Linear Synthesis and Synthesis by Physical Modeling.
Wavetable
Synthesis is recorded or synthesized musical events stored in internal memory
and played back on demand. Here the playback tools consists of various
techniques for sound variation such as pitch shifting, Looping, Enveloping, and
filtering.
In spectral
Synthesis the sound is produced from frequency domain models. The signal is
represented as a super position of the basis functions with time varying
amplitudes. The practical implementations consist of additive synthesis,
substractive synthesis and granular synthesis.
Non linear
Synthesis is a frequency modulation method which is time dependent phase term
in the sinusoidal basis functions. This is a kind of an inexpensive method
which is usually used in sound cards of PCs.
In Physical
modeling, the sound production method is modeled, i.e. the physical structure
of the main vibrating structure is given by partial differential equations.
Most of these methods are based on wave equations describing the wave
propagation in air as well as in solids.
Author : Pavarindu Sahansith
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