Loud sounds with fast rise times, like gunfire and explosions, can cause noise-induced hearing loss (NIHL). Unfortunately, current models do not adequately explain how impulsive sounds cause NIHL, which makes it difficult to predict and prevent NIHL on battlefields and other hostile or rugged environments. Fortunately, the impulsive sounds experienced by soldiers and others working in rugged environments can be recorded using a compact, portable system that acquires, digitizes, and stores high-bandwidth audio data. An example of this system can be mounted on a helmet or other article and used to record hours of audio data at a bandwidth of 20 kHz or higher, which is broad enough to capture sounds with rise times less than 50 ms. An analog-to-digital converter (ADC) digitizes these broadband audio signals at rate of 40 kHz or higher to preserve the impulse information. A processor transfers the digitized samples from a buffer to a memory card for later retrieval using an interrupt-driven processing technique.

Various aspects are directed to a data storage device comprising one or more disks, an actuator mechanism configured to position a selected head among one or more heads proximate to a corresponding disk surface among the one or more disks, and one or more processing devices. The one or more processing devices are configured to detect repeatable runout (RRO) noise components from a measurement of fly height of the selected head above one or more sectors of a fly height measurement track, and remove the detected RRO noise components from one or more per-sector readback signal measurements.

Various aspects are directed to a data storage device comprising one or more disks, an actuator mechanism configured to position a selected head among one or more heads proximate to a corresponding disk surface among the one or more disks, and one or more processing devices. The one or more processing devices are configured to detect repeatable runout (RRO) noise components from a measurement of fly height of the selected head above one or more sectors of a fly height measurement track, and remove the detected RRO noise components from one or more per-sector readback signal measurements.

According to one embodiment, a magnetic recording device includes a magnetic head and a controller. The magnetic head includes first and second magnetic poles, a magnetic element provided between the first and second magnetic poles, and first and second terminals. The controller is configured to perform a recording operation. In the recording operation, the controller is configured to supply a recording current to the coil while applying an element voltage not less than a first voltage and not more than a second voltage between the first terminal and the second terminal. A differential resistance of the magnetic element when a positive applied voltage applied between the first terminal and the second terminal is changed while the recording current is supplied to the coil becomes a first peak when the applied voltage is the first voltage.

According to one embodiment, a magnetic recording device includes a magnetic head and a controller. The magnetic head includes first and second magnetic poles, a magnetic element provided between the first and second magnetic poles, and first and second terminals. The controller is configured to perform a recording operation. In the recording operation, the controller is configured to supply a recording current to the coil while applying an element voltage not less than a first voltage and not more than a second voltage between the first terminal and the second terminal. A differential resistance of the magnetic element when a positive applied voltage applied between the first terminal and the second terminal is changed while the recording current is supplied to the coil becomes a first peak when the applied voltage is the first voltage.

An automated electrophysiological response analysis apparatus for identifying and eliminating signals having non-physiological artifact noise from an averaged evoked potential signal, wherein the apparatus is adapted to identify in an electrophysiological response at least one characteristic representative of non-physiological artifact noise to classify the signal as an artifact signal and remove the artifact signal from a collection of signals used to generate the averaged evoked potential signal.

An automated electrophysiological response analysis apparatus for identifying and eliminating signals having non-physiological artifact noise from an averaged evoked potential signal, wherein the apparatus is adapted to identify in an electrophysiological response at least one characteristic representative of non-physiological artifact noise to classify the signal as an artifact signal and remove the artifact signal from a collection of signals used to generate the averaged evoked potential signal.

An optical medium reproduction apparatus for optically reproducing an optical medium, including: a detection unit for splitting a cross section of a beam returned from the optical medium into a plurality of regions and for forming respective detection signals; a multiple input adaptive equalizer having a plurality of adaptive equalizer units, wherein the respective detection signals are inputted into the adaptive equalizer units, and the outputs of the adaptive equalizer units are computed to form equalization signals; a binarization unit for binarizing the equalization signals to provide binary data; and an equalization error computing unit for determining an equalization error from equalization target signals provided based on the binary data from the binarization unit and the equalization signals, and providing the adaptive equalizer units with the equalization error as control signals for adaptive equalization.

An optical medium reproduction apparatus for optically reproducing an optical medium, including: a detection unit for splitting a cross section of a beam returned from the optical medium into a plurality of regions and for forming respective detection signals; a multiple input adaptive equalizer having a plurality of adaptive equalizer units, wherein the respective detection signals are inputted into the adaptive equalizer units, and the outputs of the adaptive equalizer units are computed to form equalization signals; a binarization unit for binarizing the equalization signals to provide binary data; and an equalization error computing unit for determining an equalization error from equalization target signals provided based on the binary data from the binarization unit and the equalization signals, and providing the adaptive equalizer units with the equalization error as control signals for adaptive equalization.

Loud sounds with fast rise times, like gunfire and explosions, can cause noise-induced hearing loss (NIHL). Unfortunately, current models do not adequately explain how impulsive sounds cause NIHL, which makes it difficult to predict and prevent NIHL on battlefields and other hostile or rugged environments. Fortunately, the impulsive sounds experienced by soldiers and others working in rugged environments can be recorded using a compact, portable system that acquires, digitizes, and stores high-bandwidth audio data. An example of this system can be mounted on a helmet or other article and used to record hours of audio data at a bandwidth of 20 kHz or higher, which is broad enough to capture sounds with rise times less than 50 ms. An analog-to-digital converter (ADC) digitizes these broadband audio signals at rate of 40 kHz or higher to preserve the impulse information. A processor transfers the digitized samples from a buffer to a memory card for later retrieval using an interrupt-driven processing technique.