The present invention provides a signal processing circuit including a control unit, a transmission drive unit, an analog switch array, a signal amplification unit, a detection integration unit that are connected in sequence, and a transceiver antenna connected to the analog switch array. The control unit includes an analog-to-digital converter. The signal processing circuit further includes a level conversion unit arranged between the analog-to-digital converter and the signal amplification unit, the level conversion unit is configured to linearly convert signals received by the transceiver antenna, and transmit the linearly converted signals to the analog-to-digital converter. The signal processing circuit has advantages of low cost, fast handwriting speed, and less cursor wobble. The present invention also provides a position detecting device using the same.

An apparatus includes a first mixer performing first mixing of an input signal with a digital carrier which rotates the input signal such that one end of a target bandwidth in the input signal is aligned with an edge of a first bandpass filter that performs a first filtering on the first mixed input signal; a second mixer performing a second mixing of the first filtered input signal with a digital carrier which rotates the first filtered input signal such that the opposite end of the target bandwidth is aligned with an edge of a passband of a second bandpass filter that performs a second filtering on the second mixed input signal; and a third mixer performing a third mixing on the second filtered input signal which rotates the second filtered input signal such that the target bandwidth returns to the target bandwidth prior to the first mixing.

A signal processing system is described. The signal processing system includes at least one signal processing path and a control module. The at least one signal processing path includes at least one signal input and at least two filter units. The at least two filter units include at least one hardware filter unit. The at least one signal input is connectable to at least one external electronic component. The control module is connected to the signal input and to the at least two hardware filter units. The control module is configured to determine a frequency response deviation being associated with the at least one external electronic component. The control module further is configured to reconfigure the at least one hardware filter unit such that the frequency response deviation is compensated at least partially. Further, a signal processing method for adapting filter coefficients of a signal processing system is described.

A filter circuit includes a processor configured to compare a current input value with a last-time output value, add a first correction value to the current input value and to the last-time output value if a comparison result between the current input value and the last-time output value is greater than a predetermined value, and add a second correction value smaller than the first correction value to the current input value and to the last-time output value if the comparison result is smaller than or equal to the predetermined value, and calculate a current output value based on the current input value and the last-time output value to each of which the first correction value or the second correction value has been added.

An arithmetic processing apparatus according to the present disclosure includes a digital filter. The arithmetic processing apparatus further includes a dummy data input unit configured to input dummy data to the digital filter when there is no input data input to the digital filter. The arithmetic processing apparatus further includes a cancellation processing unit configured to perform, on output data output from the digital filter, arithmetic processing for canceling an output component caused by the dummy data.

This disclosure describes systems, methods, and devices related to non-linear spectral decomposition with peak self-normalization. A system may comprise a filter bank composed of a plurality of resonators cascaded in series. The system may comprise a controller to drive the filter bank, that may inject a first signal into a first resonator of the plurality of resonators. The controller may utilize a first characteristic frequency of the first resonator to drive the first resonator using the first signal. The controller may generate a first output signal of the first resonator. The controller may utilize the first output signal of the first resonator as a second input signal into a second resonator using a second characteristic frequency. The controller may continue to inject a preceding resonator output as input into a subsequent resonator of the plurality of resonators in series in order to get spectral decomposition with peak normalized characteristics.

This disclosure relates to evaluating and improving performance of a control implementation on a quantum processor comprising multiple qubits in the presence of noise. A noise model decomposes noise interactions described by a multi-qubit noise Hamiltonian into multiple contributory noise channels. Each channel generates noise dynamics described by a unique noise-axis operator. For a given control implementation, a unique filter function represents susceptibility of the multi-qubit system to the associated noise dynamics. The filter functions are based on a frequency transformation of the noise axis operator of the corresponding noise channel to thereby evaluate the performance of the control implementation. An optimised control sequence is based on the filter function to reduce the susceptibility of the multi-qubit system to the noise channels, thereby reducing the effective interaction with the multi-qubit noise Hamiltonian. The optimised control sequence controls the quantum processor to thereby improve the performance of the control implementation.

Trans-filter/Detectors are extremely sensitive circuits that recover exponentially modulated signals buried in noise. They can be used wherever Matched Filter/Coherent Detectors are used and operate at negative input signal-to-noise ratios to recover RADAR, SONAR, communications, or data signals, as well as reduce phase noise of precision oscillators. Input signal and noise is split into two paths where complementary derivatives are extracted. Outputs of the two paths are equal in amplitude and 180 degrees relative to each other at the band center frequency. The outputs are summed, causing stationary in-band noise to be reduced by cancellation while exponentially modulated signals are undiminished. Trans-filters are Linear Time Invariant circuits, have no noise×noise threshold and can be cascaded, increasing output signal-to-noise ratio prior to detection. Trans-filters are most sensitive to all types of digital modulation, producing easily detected polarized pulses synchronous with data transitions. Trans-filters do not require coherent conversion oscillators and complex synchronizing circuits.

Trans-filter/Detectors are extremely sensitive circuits that recover exponentially modulated signals buried in noise. They can be used wherever Matched Filter/Coherent Detectors are used and operate at negative input signal-to-noise ratios to recover RADAR, SONAR, communications or data signals. Input signal and noise is split into two paths where complementary derivatives are extracted. Outputs of the two paths are equal in amplitude and 180 degrees relative to each other at the band center frequency. The outputs are summed, causing stationary in-band noise to be reduced by cancellation while exponentially modulated signals are increased by addition. Trans-filters are Linear Time Invariant circuits, have no noise×noise threshold and can be cascaded, increasing in-band signal-to-noise ratio prior to detection. Trans-filters are most sensitive to all types of digital modulation, producing easily detected polarized pulses synchronous with data transitions. Trans-filters do not require coherent conversion oscillators and complex synchronizing circuits.

A filter that is capable of filtering a noisy, periodic measurement signal having oscillations at a variable fundamental frequency and harmonic oscillation components of the fundamental frequency. The measurement signal is subjected to low pass filtering in a low-pass filter of the filter with a cutoff frequency greater than the fundamental frequency. A harmonic oscillation component of the measurement signal as an n-fold of the fundamental frequency is determined in at least one self-adaptive harmonic filter of the filter. The at least one harmonic oscillation component is added to the low-pass-filtered measurement signal, the resultant sum is substracted from the measurement signal, and the resultant difference is used as input into the low pass filter. The measurement signal subjected to low pass filtering in the low-pass filter is output by the filter as a filtered measurement signal.