Search results
Results from the WOW.Com Content Network
Then, the output sample y(n) can be computed in terms of the inputs and the output sample y(n − M) such that there are M delay elements in the critical loop. These elements are then used to pipeline the critical loop by M stages so that the sample rate can be increased by a factor M. Consider the 1st-order IIR filter transfer function
The DSP implementation in the folding algorithm is a Data flow graph(DFG), which is a graph composed of functional nodes and delay edges.. Another input for folding algorithm is folding set which is the function maps an operation unit of original DFG to an operation of transformed DFG with the number n <= N indicated the order of reused operation.
The following graph is another example showing the unfolding algorithm. Notice that, if there is the delay smaller than unfolding factor J , the J -unfolded DFG would create the edge with 0 delay but whose corresponding edge at original DFG may be the non-zero edge.
In order to maintain the same sample rate, the clock period of the N-parallel circuit increases to N times the propagation delay of the original circuit. It makes the charging time prolongs N times. The supply voltage can be reduced to βV 0. Therefore, the power consumption of the N-parallel system can be formulated as
In method 1, a slow pre-computation (such as the Remez algorithm) can be used to obtain an optimal (per application requirements) filter design. Method 2 will work in more general cases, e.g. where the ratio of sample rates is not rational, or two real-time streams must be accommodated, or the sample rates are time-varying.
In digital signal processing (DSP), a normalized frequency is a ratio of a variable frequency and a constant frequency associated with a system (such as a sampling rate, ). Some software applications require normalized inputs and produce normalized outputs, which can be re-scaled to physical units when necessary.
In order to accelerate multidimensional DSP computations, using dedicated supercomputers or cluster computers is required in some circumstances, e.g., weather forecasting and military radars. Nevertheless, using supercomputers designated to simply perform DSP operations takes considerable money cost and energy consumption.
Digital signal processing (DSP) is the use of digital processing, such as by computers or more specialized digital signal processors, to perform a wide variety of signal processing operations. The digital signals processed in this manner are a sequence of numbers that represent samples of a continuous variable in a domain such as time, space ...