A method of filtering includes generating a random value by a random number generator circuit, filtering a first signal by a first filter to form a filtered first signal, dithering the filtered first signal using the random value to form a dithered first signal, filtering a second signal by a second filter to form a filtered second signal, and dithering the filtered second signal using the random value to form a dithered second signal.

Provided is a compact digital attenuator. The compact digital attenuator includes a first attenuation cell to an nth attenuation cell, which include a plurality of attenuation cells connected to each other in parallel through a transmission line, wherein each of the plurality of attenuation cells may include a plurality of switch elements connected to each other in parallel, wherein the plurality of switch elements may be connected to the transmission line through one contact point.

A resampling method based on window function for flexible sampling rate conversion in broadband frequency measurement devices is described. The resampling algorithm can satisfy the requirements of different sampling rates. The frequency responses of the filter in the resampling model based on the Farrow structure are analyzed, and the design criterion of the filter in resampling model is considered. A fractional delay filter design model based on window function method is described. A fractional delay filter matrix, which is expressed by polynomial form, is constructed. Then the expression related to subfilter coefficients is obtained and subfilter coefficients are solved for by the least square method.

A novel and useful discrete time IIR bandpass filter is disclosed that takes advantage of clock phase reuse thereby leading to significant improvements in filtering, especially stop band rejection in comparison to prior art filters. The bandpass filter of the present invention achieves improved filtering performance without adding any additional clock phases to the circuit. In particular, reuse of the already existing clock phases increases the order and performance of the filter. The invention exploits reuse of the clock phases to provide higher order filtering along with a discrete time IIR filter design which is capable of operating at high frequency. Consequently, much better filtering is achieved and the quality factor of the filter is improved leading to sharper transition bands especially for close-in band blockers in modern 4G/5G receivers.

The present disclosure relates to an artificial intelligence (AI) system which simulates functions such as cognition, judgment, and the like of the human brain by utilizing machine learning algorithms such as deep learning and the like, and to an application thereof. According to various embodiments, an electronic device may comprise: a first impedance matching circuit configured to perform a first impedance matching on a power signal wirelessly received from a wireless power transmission device; a second impedance matching circuit configured to perform a second impedance matching on the first impedance-matched power signal using any one impedance value among a plurality of impedance values; a control circuit configured to perform control to change an impedance value of the second impedance matching circuit to an impedance value learned using an impedance matching network model, corresponding to a power and a frequency of the second impedance-matched power signal; and a power conversion circuit configured to convert a second impedance-matched power signal in an AC form into a power in a DC form for charging a battery according to the changed impedance value.

Systems and methods utilize a modified genetic algorithm for adapting an off-the-shelf audio system, such as in a high-end television, to a given, particular room or other physical location presenting a specific or unique auditory environment with a set of acoustic properties. An audio system is adapted to a given room by determining an IIR based EQ solution via iterative techniques, including an iterative technique based upon a genetic algorithm adapted for an audio frequency response equalization application. In a variant, an audio system is adapted to a particular room, adjust the EQ across a microphone's bandwidth while preserving the factory-calibrated EQ response across the remaining bandwidth.

The Digital Time Processing using Rational Number Filters (DTP RNF) disclosed herein is contributing methods, systems and circuits for using a Precision Time Protocol (PTP) such as IEEE 1588 for distributing a master time secured by a master unit to slave units by utilizing slave clocks, synchronous to referencing frames communicated with PTP messages or compatible with them data receiver clocks, for maintaining a local slave time which is increased to a local master time by adding to it an estimate of a transmission delay derived by processing PTP messages or by other means, wherein such distribution of the master time includes filtering out phase noise of the timing referencing signals with the Rational Number Filters in order to produce accurate and stable timing implementing signals such as the slave clock, local slave time and local master time.

An infinite impulse response filter includes a plurality of lower order filter stages and a random number generator circuit. The plurality of lower order filter stages include a first filter stage coupled to a second filter stage. The random number generator circuit includes a first output coupled to the first filter stage and a second output coupled to the second filter stage. The random number generator circuit is configured to generate the same random value at both the first output and the second output. The infinite impulse response filter is an n.sup.th-order filter. The respective order of each of the lower order filter stages is less than n.

A method for controlling an FIR filter includes generating, based on operation information, a first and second control data, generating a second amplitude characteristic, and setting filter coefficients of the FIR filter based on the second amplitude characteristic. The first control data indicates an amount of expansion/compression in a frequency axis direction of a first amplitude characteristic that corresponds to a predetermined transfer function that is expressed as a function of an angular frequency, and the amount of expansion/compression is an integer value or a non-integer value. The second control data indicates an amount of shift in the frequency axis direction of the first amplitude characteristic. The second amplitude characteristic is generated by expanding/compressing the first amplitude characteristic in the frequency axis direction in accordance with the first control data and shifting the first amplitude characteristic in the frequency axis direction in accordance with the second control data.

A method for controlling an FIR filter includes generating, based on operation information, a first and second control data, generating a second amplitude characteristic, and setting filter coefficients of the FIR filter based on the second amplitude characteristic. The first control data indicates an amount of expansion/compression in a frequency axis direction of a first amplitude characteristic that corresponds to a predetermined transfer function that is expressed as a function of an angular frequency, and the amount of expansion/compression is an integer value or a non-integer value. The second control data indicates an amount of shift in the frequency axis direction of the first amplitude characteristic. The second amplitude characteristic is generated by expanding/compressing the first amplitude characteristic in the frequency axis direction in accordance with the first control data and shifting the first amplitude characteristic in the frequency axis direction in accordance with the second control data.