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In stock Items. V-neckline with elastic under the bust lining. Your comment is submitted. New Quick view Details. Multiplication operations are performed in the various multipliers — , and the results are appropriately summed in summer , to ultimately arrive at the desired equations for the IIR filter In particular, as shown in FIG.
The PGA converts the 9-bit input signal from the IIR filter into an 8-bit output signal, the error estimator calculates the total absolute error of the current IIR filter, and the peak detector detects the maximum value of the input IIR filtered data signal.
In particular, the PGA includes a multiplexer which selects eight bits from the 9-bit input IIR filtered data samples, depending upon on the value of the maximum data sample detected by the peak detector The PGA includes a divide by 2 block , and a least significant bit block, each fed into and selected by the multiplexer The peak detector stores the value of the maximum data sample detected in the 9-bit register The peak detector includes a comparator to compare an input 9-bit data sample to a currently established maximum data value maintained in a 9-bit register The most significant 8 bits of the maximum value are selected in block , which is divided by 2 in divider The error estimator includes a slicer , a summer , an absolute value determiner , another summer , a bit register , a comparator , and another bit register The error estimator calculates the total absolute error by comparing the input IIR filtered data sample to a sliced version of the same signal as follows.
The slicer in the error estimator creates the sliced signal from the maximum value detected. The threshold of the slicer is equal to the maximum value divided by two i.
The error estimator stores the total absolute error detected using each of the available IIR filters e. After each of the available IIR filters are tested, the error estimator and the control block outputs the selection of the IIR filter providing the least absolute error.
In operation, the filter selector waits samples for the IIR filter transient to be completed. The next data samples are used by the peak detector to find the maximum value of the input IIR filtered data, and the last data samples are used by the error estimator to calculate the total absolute error.
In particular, as shown in FIGS. As shown in FIG. In the implementation of FIGS. The remaining eight bits are used to store the small corrections to the coefficients — , and thus adaptively adjusts the FIR filter The FIR filter preferably includes an adaptive algorithm, e.
The FIR filter outputs 8-bit samples, and implements the following equations. In particular, the slicer implements the following equations: The coefficients — in FIG.
The step size in the adaptive FIR filter is a number always lower than one, e. The step size is reduced as the algorithm converges, and can be set equal to zero i.
Some alarms to be transmitted have this characteristic. A periodic pattern causes a major problem to equalization algorithms.
This issue is solved, e. When a periodic pattern is detected by the periodic pattern detector , the adaptive equalization is frozen and the output samples come directly from the periodic pattern detector While the invention has been described with reference to the exemplary embodiments thereof, those skilled in the art will be able to make various modifications to the described embodiments of the invention without departing from the true spirit and scope of the invention.
Year of fee payment: A filter selector block selects a desired set of coefficients corresponding to the optimum IIR filter.
A restored T1 or E1 signal is output from the FIR filter, and thus from the digital adaptive equalizer. Background of Related Art Telecommunications and more recently data communications commonly utilize T1 or E1 rate long haul transceivers for transmitting large amounts of data.
A digital adaptive equalizer for a data communication path, comprising: The digital adaptive equalizer for a data communication path according to claim 1 , wherein: The digital adaptive equalizer for a data communication path according to claim 2 , wherein: The digital adaptive equalizer for a data communication path according to claim 1 , wherein said data communication path comprises one of: The digital adaptive equalizer for a data communication path according to claim 4 , wherein: The digital adaptive equalizer for a data communication path according to claim 1 , further comprising: The digital adaptive equalizer for a data communication path according to claim 9 , wherein: Signal generator using IIR type digital filter; and method of generating, supplying, and stopping its output signal.
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